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Publication numberUS7996188 B2
Publication typeGrant
Application numberUS 11/466,391
Publication date9 Aug 2011
Filing date22 Aug 2006
Priority date22 Aug 2005
Also published asUS8229707, US20080228444, US20120004859
Publication number11466391, 466391, US 7996188 B2, US 7996188B2, US-B2-7996188, US7996188 B2, US7996188B2
InventorsDavid Olson, Collin A. Rich, Clement James Goebel, III
Original AssigneeAccuri Cytometers, Inc.
Export CitationBiBTeX, EndNote, RefMan
External Links: USPTO, USPTO Assignment, Espacenet
User interface for a flow cytometer system
US 7996188 B2
Abstract
A method of extracting and analyzing a data set from a flow cytometer system of the preferred embodiment comprises the steps of (1) running a sample and saving all collected raw data, (2) viewing raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified data, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified data, and exporting the saved data as many times as necessary and/or desirable.
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Claims(36)
1. A method of extracting and analyzing a data set from a flow cytometer system comprising:
collecting a full dynamic range of input signals from a flow cytometer sample;
storing an initial data set of the full dynamic range of the input signals from the flow cytometer sample;
displaying the initial data set on a user interface;
allowing modification of the initial data set to manipulate the initial data set across the range of input signals from the flow cytometer sample;
saving the modified data set; and
exporting the saved data set to a different medium than the flow cytometer system;
wherein collecting the full dynamic range of input signals includes collecting the full dynamic range of input signals to an initial data set that includes a 1:100,000 ratio between the faintest objects and the brightest objects.
2. The method of claim 1 wherein collecting the full dynamic range of input signals further includes collecting the full dynamic range of input signals to an initial data set with an error rate induced by electric noise of less than one-percent.
3. The method of claim 1 wherein collecting the full dynamic range of input signals further includes collecting the input signals without accepting a gain amplification level selection from a user.
4. The method of claim 1 wherein storing an initial data set includes storing to an electronic storage unit.
5. The method of claim 1 wherein displaying the initial data set includes permitting a user to observe the initial data set from the full dynamic range of input signals, and permitting the user to identify the appropriate modifications for the initial data set.
6. The method of claim 1 wherein exporting the saved data set includes permitting a user to transfer at least one of the initial data set and the modified data set from the flow cytometer method to the different medium.
7. The method of claim 1 wherein allowing modification of the initial data set includes permitting a user to manipulate the initial data set across the full dynamic range of input signals from the flow cytometer sample and to generate a modified data set.
8. The method of claim 7 wherein allowing modification of the initial data set further includes permitting the user to:
perform real-time comparisons between the initial data set and the modified data set on a single flow cytometer sample,
adjust or undo modifications, to make multiple adjustments on the same initial data set, and
generate at least one subset of data that corresponds to one or more sample populations contained within the initial data set.
9. The method of claim 1 wherein allowing modification of the initial data set further includes permitting a user to identify the modifications made to the initial data set and to store settings used to generate a desired subset of data.
10. The method of claim 9 wherein allowing modification of the initial data set further includes providing adjustable virtual instrument settings.
11. The method of claim 9 wherein allowing modification of the initial data set further includes applying hierarchical scaling factors to independent data channels.
12. The method of claim 9 wherein allowing modification of the initial data set further includes utilizing a graphical, menu-driven format adapted to accept and display data sets.
13. A method of extracting and analyzing a data set from a flow cytometer system comprising:
collecting a full dynamic range of input signals from a flow cytometer sample;
storing an initial data set of the full dynamic range of the input signals from the flow cytometer sample;
displaying the initial data set on a user interface;
allowing modification of the initial data set to manipulate the initial data set across the range of input signals from the flow cytometer sample;
saving the modified data set; and
exporting the saved data set to a different medium than the flow cytometer system;
wherein allowing modification of the initial data set includes permitting a user to manipulate the initial data set across the full dynamic range of input signals from the flow cytometer sample and to generate a modified data set, wherein allowing modification of the initial data set further includes permitting the user to:
perform real-time comparisons between the initial data set and the modified data set on a single flow cytometer sample,
adjust or undo modifications, to make multiple adjustments on the same initial data set, and
generate at least one subset of data that corresponds to one or more sample populations contained within the initial data set.
14. The method of claim 13 wherein allowing modification of the initial data set further includes permitting the user to adjust the bounds of the data.
15. The method of claim 13 wherein collecting the full dynamic range of input signals includes collecting the full dynamic range of input signals to an initial data set that includes a 1:100,000 ratio between the faintest objects and the brightest objects.
16. The method of claim 15 wherein collecting the full dynamic range of input signals further includes collecting the full dynamic range of input signals to an initial data set with an error rate induced by electric noise of less than one-percent.
17. The method of claim 13 wherein collecting the full dynamic range input signals further includes collecting the input signals without accepting a gain amplification level selection from a user.
18. The method of claim 13 wherein displaying the initial data set includes permitting a user to observe the initial data set from the full dynamic range of input signals, and permitting the user to identify the appropriate modifications for the initial data set.
19. The method of claim 18 wherein allowing modification of the initial data set further includes permitting a user to identify the modifications made to the initial data set and to store settings used to generate a desired subset of data.
20. The method of claim 19 wherein allowing modification of the initial data set further includes providing adjustable virtual instrument settings.
21. The method of claim 19 wherein allowing modification of the initial data set further includes applying hierarchical scaling factors to independent data channels.
22. The method of claim 13 wherein allowing modification of the initial data set further includes utilizing a graphical, menu-driven format adapted to accept and display data sets.
23. A method of extracting and analyzing a data set from a flow cytometer system comprising:
collecting a full dynamic range of input signals from a flow cytometer sample;
storing an initial data set of the full dynamic range of the input signals from the flow cytometer sample;
displaying the initial data set on a user interface;
allowing modification of the initial data set to manipulate the initial data set across the range of input signals from the flow cytometer sample;
saving the modified data set; and
exporting the saved data set to a different medium than the flow cytometer system;
wherein allowing modification of the initial data set further includes permitting a user to identify the modifications made to the initial data set and to store settings used to generate a desired subset of data.
24. The method of claim 23 wherein allowing modification of the initial data set further includes providing adjustable virtual instrument settings.
25. The method of claim 23 wherein allowing modifications of the initial data set further includes applying hierarchical scaling factors to independent data channels.
26. The method of claim 23 wherein allowing modification of the initial data set further includes utilizing a graphical, menu-driven format adapted to accept and display data sets.
27. The method of claim 26 wherein utilizing a graphical, menu-driven format includes displaying separate graphs that are generated from the initial data set and the modified data set in separate frames.
28. The method of claim 26 wherein utilizing a graphical, menu-driven format includes superimposing the initial data set and the modified data set on one another and displaying them in the same graph frame, distinguishing each data set.
29. The method of claim 26 wherein utilizing a graphical, menu-driven format includes displaying, in independent planes of the same graph frame, the consequences of each modification applied to the initial data set in the generation of the modified data set.
30. The method of claim 23 wherein allowing modification of the initial data set further includes utilizing a numerical display format.
31. The method of claim 23 wherein saving the modified data set further includes permitting the user to sequentially access the previously saved alterations made to the subset of data in the settings.
32. The method of claim 23 wherein saving the modified data set further includes saving the corresponding modification parameters and saving other pertinent information regarding the sample or data acquisition.
33. The method of claim 23 wherein collecting the full dynamic range of input signals includes collecting the full dynamic range of input signals to an initial data set that includes a 1:100,000 ratio between the faintest objects and the brightest objects.
34. The method of claim 23 wherein collecting the full dynamic range of input signals further includes collecting the full dynamic range of input signals to an initial data set with an error rate induced by electric noise of less than one-percent.
35. The method of claim 23 wherein collecting the full dynamic range input signals further includes collecting the input signals without accepting a gain amplification level selection from a user.
36. The method of claim 35 wherein displaying the initial data set includes permitting a user to observe the initial data set from the full dynamic range of input signals, and permitting the user to identify the appropriate modifications for the initial data set.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application No. 60/710,102, entitled “User Interface for a Flow Cytometer System” and filed on 22 Aug. 2005, which is incorporated in its entirety by this reference.

TECHNICAL FIELD

The present invention relates generally to the field of flow cytometers, and more particularly to user interfaces in the field of flow cytometers.

BACKGROUND

A typical flow cytometer detector has a limited collection range. In quantitative terms, the collection range for a typical flow cytometer with a photomultiplier tube is approximately four decades, whereas the signal range of the objects may span more than five decades across experiments. In simple terms, the collection range of a typical flow cytometer is smaller than the signal range of the objects. For this reason, the typical detector is supplied with a gain level for the photomultiplier tubes and/or an amplifier. Detectors typically collect data relative to an object's size (light scatter) or brightness (fluorescence); both types of data are often collected on each object detected. To collect signals from small or faint objects, the gain level is increased. With an increased gain level, however, the signals from large or bright objects are too intense to be collected. To collect signals from large or bright objects, the gain level is decreased. With a decreased gain level, however, the signals from small or faint objects are too weak to be collected.

As shown in FIG. 1, the typical flow cytometer user interface involves the preparation and running of a pilot sample in order to appropriately set the gain control and define the user-set collection range. This involves the steps of (1) setting the gain control to what the user predicts will provide the desired collection range, (2) running a pilot sample through the flow cytometer, (3) viewing the pilot data/signal collected from the pilot sample, (4) identifying the extent to which, if any, the gain setting should be modified to achieve a more suitable collection range, and (5) repeating steps 1-4 as needed until the desired collection range is achieved. Since the typical detector is unable to obtain useable data from signals beyond its collection range, and since the typical detector requires a pre-set gain level, the typical user interface does not allow the user to adjust the signal gain level/scaling (e.g. photomultiplier tube voltages) after data acquisition is complete. Observing data signals outside of the pre-set collection range is only possible if (1) the user changes the detector gain levels and (2) the user is able to run an additional test sample that is relatively homogenous to the previous samples and is temporally stable.

The limitations of the user interface of typical flow cytometer systems have at least four disadvantages: (1) the expenditure of valuable user time spent on the gain-setting process to ensure it is set correctly; (2) the requirement of significantly more sample to determine the proper gain settings (i.e. more sample is used setting the gain than is actually used in the data collection run), (3) the potential loss of valuable data because the user incorrectly anticipated the actual signal range and a portion or more of the input signals are outside the user-set “active” dynamic collection range and are not collected; and (4) the inability to observe and “undo” changes in user-set gain/scaling settings without running additional samples.

As flow cytometer systems incorporate features that significantly increase the collection ranges to a range that approaches the object signal ranges (e.g. broad dynamic range flow cytometers), there will be a need in the flow cytometer field to create a new and improved flow cytometer user interface that avoids or minimizes one or more of these disadvantages. This invention provides such new and improved flow cytometer user interface.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 is a schematic block diagram of a flow cytometer user interface of the prior art.

FIG. 2 is a schematic block diagram of a flow cytometer user interface in accordance with the preferred embodiment of the present invention.

DESCRIPTION OF THE PREFERRED EMBODIMENT

The following description of the preferred embodiment of the invention is not intended to limit the invention to this preferred embodiment, but rather to enable any person skilled in the art of flow cytometers to make and use this invention.

The preferred embodiment of the invention extracts data from the full dynamic range of a flow cytometer in a single run, and then manipulates scaling and/or culling factors across the full dynamic range after the data have been collected. The data of the full dynamic range are collected and stored in raw or unmodified form during the acquisition step and the user interface can display the unmodified data and/or modified data. Because scaling and/or culling factors can be applied after the acquisition step is complete, the user interface facilitates real-time comparisons between the raw and modified data on a single, unique sample run. Scaling and/or culling can be adjusted or undone without the need to re-run pilot samples, which saves time, reduces the amount of sample required, and eliminates the potential of lost data due to incorrect gain settings.

As shown in FIG. 2, the flow cytometer user interface of the preferred embodiment comprises the steps of (1) running the sample and saving all collected data, (2) viewing the raw (or “unmodified”) data, (3) modifying the raw data (e.g., scaling and/or culling the raw data), (4) reviewing and saving the modified settings, and (5) exporting the saved data. Once the sample has been run and all collected data have been saved, the user can repeat the steps of modifying the raw data, saving the modified settings, and exporting the saved data as many times as necessary or desirable without the need to run an additional sample.

The user interface of the preferred embodiment may be coupled to any suitable diagnostic and/or analysis system. In the preferred embodiment, the user interface is in electronic communication with an advanced flow cytometer that has a collection range that approaches the total detected object signal range (e.g. broad dynamic range flow cytometers). While the advanced flow cytometer may be any suitable flow cytometer system, it is preferably an advanced flow cytometer as described in U.S. Patent Publication No. 2006/0219873, entitled “Detection System for a Flow Cytometer” and filed on 31 Mar. 2006, which is incorporated in its entirety by this reference. In an alternative embodiment, the user interface is in electronic communication with a composite of several narrow dynamic range flow cytometers.

In the preferred embodiment, the first step of ‘running the sample and saving all collected data’ (102) includes the collection (i.e., acquisition) and electronic storage of the full dynamic range of input signals (in raw, unmodified format) from a flow cytometer sample. The full dynamic range of input signals is preferably defined as the range of input signals that provides a 1:100,000 ratio, and more preferably a 1:1,000,000 ratio, between the faintest objects and the brightest objects. The full dynamic range of input signals is preferably captured by a 24bit process, which translates to roughly 16,700,000 levels of information, but may alternatively be captured by any suitable process. Preferably, the captured data includes an error rate induced by electric noise of less than one-percent. In the preferred embodiment, the data are collected in a raw, unmodified format without the use of, or the adjustment in, the gain level of the detector. The collection of the data in this manner eliminates the expenditure of valuable user time and avoids the potential loss of valuable data through misconfiguration of the system.

The second step of ‘viewing the raw data’ (104) permits the user to observe the raw data that has been collected and stored from the sample run and identify the anticipated appropriate modifications for the sample. In the preferred embodiment, the user interface presents the raw data after the acquisition is complete. In an alternative embodiment, the user interface presents the raw data during the acquisition step. In a first “local” variation of the preferred embodiment, the original, raw data set to be viewed is acquired from a flow cytometer coupled to the user interface; in a second “remote” variation, the original data set is acquired from an electronic storage medium. When the user interface is coupled to a broad dynamic range flow cytometer, as in the preferred embodiment, the user interface can display data from greater than four decades of signal.

The third step of ‘modifying the raw data’ (106) permits the user to manipulate (e.g. scale and/or cull) the data collected across the full dynamic range of input signals from the flow cytometer sample. In this step, the user interface permits the user to perform real-time comparisons between the raw and modified data on a single, unique sample run. Additionally, scaling and/or culling can be adjusted or undone without the need to re-run pilot samples allowing multiple adjustments on the same initial data set.

In the preferred embodiment, the user scales and/or culls the raw data to select a subset of signals that corresponds to the desired sample population. The user is permitted to apply gain and scaling factors to the acquired data. This is performed independently of the acquisition step and permits the user to adjust the bounds of the data. In an alternative embodiment, the user interface automatically scales and/or culls the raw data based on an appropriate algorithm. In this alternative embodiment, the user interface may accept a user command that corresponds to, or identifies, the desired sample population. The modifying of raw data preferably occurs after data acquisition is complete, and multiple signal gain/scaling adjustments can be made on a single, unique data set.

The user interface of the preferred embodiment may be virtual, physical, or any suitable combination. In the virtual variation, the knobs, sliders, and other controls are shown only on a display and not in a physical unit. The controls, whether virtual or physical, permit the single, unique data set to be modified in a step-wise, sequential fashion. Alternatively, the user interface may permit the single, unique data to be repeatedly or iteratively modified. Scaling is preferably applied hierarchically based on forward scatter, which can be expanded to include any or all of the available data channels (scatter and fluorescent) in a progressive fashion. Scaling may, however, be applied in any suitable manner.

Any number of subsets of data can be generated that correspond to one or more sample populations contained within the raw data set. Preferably, the user interface permits each subset (i.e. modification) of the raw data and the settings used to generate the desired subset of data to be individually saved, recorded, and identified. Alternatively, the user interface may permit subsets of raw data that are generated by sequential or iterative modifications and the settings used to generate the desired subset of data to be saved and identified at each iteration and in their totality.

In the preferred embodiment, the user interface utilizes one or more graphical, menu-driven formats that can accept and display data sets, such as those from a flow cytometer with broad dynamic range. In an alternative embodiment, the user interface utilizes a numerical display format. The user interface permits the application of scaling and/or culling factors to the original data set to modify its display representation. In a first variation, the user interface simultaneously presents modified and raw representations of a single data set. In a second variation, the user interface simultaneously presents multiple data sets that can be simultaneously viewed, compared, and analyzed. The user can undo or otherwise alter the modifications of one or more data sets using the menu-driven options.

The user interface of the preferred embodiment represents raw data and modified data using any suitable format, including graphically and numerically. The user interface enables observation of the consequences of scaling and/or culling modifications on a unique data set by simultaneous representation of raw and modified data. In one variation, separate graphs are generated from the raw and modified data and are displayed in separate frames, which preferably represents a preview of the export/print version of the viewed data. In an alternative variation, the raw and modified data are superimposed on one another in the same graph frame, with each data set preferably distinguished by color and/or shading. In yet another variation, the consequences of each modification applied to the raw data in the generation of the modified data are represented in independent planes of the same graph frame, and all modifications can be superimposed.

The fourth step of ‘reviewing and saving the modified settings’ (108) permits the user to identify the modifications made to the original data set and to store the setting(s) used to generate the desired subset of data, thus allowing the user to save both the data and the corresponding scaling and/or culling parameters. The user interface provides virtual instrument settings that can be adjusted, which generate a corresponding subset of data from the raw (i.e. original) data set. The user can repeat the steps of modifying the raw data and saving the desired subset of data and modified settings as many times as necessary and/or desirable, without the need for running additional sample through the flow cytometer. If the user generates the subset of data by making one or more alterations in the virtual settings, the user can access the previously saved alterations made to the subset of data and retrace or “undo” the alterations sequentially. In the preferred embodiment, the user interface will prompt the user to save the modified subset of data, the settings used to generate the data, and any other pertinent information regarding the sample or data acquisition; in an alternative embodiment, the data settings are saved automatically. The user interface can apply hierarchical scaling factors to independent data channels (e.g. scatter channels and fluorescent channels).

The fifth step of ‘exporting the saved data’ (110) permits the user to transfer the original (raw) data set and/or the modified subset of data from the flow cytometer system to a different medium, such as a printout or an electronic file. The data may be transferred to any suitable medium for subsequent viewing, analysis, and/or storage, and the settings used to generate the data and other pertinent information regarding the sample or data acquisition may also be included.

As a person skilled in the art of flow cytometry will recognize from the previous detailed description and from the figures and claims, modifications and changes can be made to the preferred embodiment of the invention without departing from the scope of this invention defined in the following claims.

Patent Citations
Cited PatentFiling datePublication dateApplicantTitle
US46918296 Dec 19848 Sep 1987Coulter CorporationMethod of and apparatus for detecting change in the breakoff point in a droplet generation system
US515031312 Apr 199022 Sep 1992Regents Of The University Of CaliforniaParallel pulse processing and data acquisition for high speed, low error flow cytometry
US520488418 Mar 199120 Apr 1993University Of RochesterSystem for high-speed measurement and sorting of particles
US5224058 *1 May 199029 Jun 1993Becton, Dickinson And CompanyMethod for data transformation
US527054831 Jul 199214 Dec 1993The United States Of America As Represented By The United States Department Of EnergyPhase-sensitive flow cytometer
US530899014 May 19923 May 1994Hitachi, Ltd.Method for measuring microparticles, quantitative measuring method therefor and instrument for measuring microparticles
US53674748 Feb 199322 Nov 1994Coulter CorporationFlow cytometer
US54693751 Feb 199321 Nov 1995Toa Medical Electronics Co., Ltd.Device for identifying the type of particle detected by a particle detecting device
US568448030 Jan 19954 Nov 1997Telefonaktiebolaget Lm EricssonWide dynamic range analog to digital conversion
US588337830 Jul 199616 Mar 1999Bayer CorporationApparatus and methods for transmitting electrical signals indicative of optical interactions between a light beam and a flowing suspension of particles
US598118011 Oct 19959 Nov 1999Luminex CorporationMultiplexed analysis of clinical specimens apparatus and methods
US61150657 Nov 19965 Sep 2000California Institute Of TechnologyImage sensor producing at least two integration times from each sensing pixel
US618131917 Mar 199830 Jan 2001Sysmex CorporationMethod of displaying a scattergram
US67108719 Jun 199823 Mar 2004Guava Technologies, Inc.Method and apparatus for detecting microparticles in fluid samples
US677891026 Feb 200317 Aug 2004Coulter International Corp.Statistical probability distribution-preserving accumulation of log transformed data
US680980411 May 200126 Oct 2004Becton, Dickinson And CompanySystem and method for providing improved event reading and data processing capabilities in a flow cytometer
US681625728 Aug 20039 Nov 2004Guava Technologies, Inc.Method and apparatus for detecting microparticles in fluid samples
US689795420 Dec 200224 May 2005Becton, Dickinson And CompanyInstrument setup system for a fluorescence analyzer
US70198344 Jun 200228 Mar 2006Lockheed Martin CorporationTribological debris analysis system
US702431620 Oct 20004 Apr 2006Dakocytomation Colorado, Inc.Transiently dynamic flow cytometer analysis system
US710644229 Apr 200412 Sep 2006Silcott David BMulti-spectral optical method and system for detecting and classifying biological and non-biological particles
US713004627 Sep 200431 Oct 2006Honeywell International Inc.Data frame selection for cytometer analysis
US727431616 Nov 200525 Sep 2007Luminex CorporationSystem and method for managing data from a flow analyzer
US7362432 *13 Jan 200522 Apr 2008Luminex Corp.Method and systems for dynamic range expansion
US2002002843426 Apr 20017 Mar 2002Guava Technologies, Inc.Apparatus for the detection of preferential particles in solution
US2002008034119 Dec 200127 Jun 2002Sysmex CorporationFlow cytometer
US2003005455818 Jul 200220 Mar 2003Katsuo KurabayashiFlow cytometers and detection system of lesser size
US20030078703 *18 Oct 200224 Apr 2003Surromed, Inc.Cytometry analysis system and method using database-driven network of cytometers
US200302230614 Jun 20024 Dec 2003Lockheed Martin CorporationTribological debris analysis system
US2004013132217 Dec 20038 Jul 2004Ye Jing YongEnhancing fiber-optic sensing technique using a dual-core fiber
US20040143423 *17 Oct 200322 Jul 2004Leland Stanford Junior UniversityMethods and systems for data analysis
US200402464766 Jun 20039 Dec 2004Bevis Christopher F.Systems for inspection of patterned or unpatterned wafers and other specimen
US20050073686 *13 Aug 20047 Apr 2005Roth Wayne D.Methods for controlling one or more parameters of a flow cytometer type measurement system
US20060015291 *20 Jun 200519 Jan 2006Leland Stanford Junior UniversityMethods and systems for data analysis
US20060219873 *31 Mar 20065 Oct 2006Martin Steven MDetection system for a flow cytometer
US20070124089 *28 Feb 200531 May 2007Jochum Theodore WSystem for high dynamic range analysis in flow cytometry
US2008022844422 Aug 200618 Sep 2008David OlsonUser interface for a flow cytometer system
US2010001285318 May 200921 Jan 2010Parks David RMethod for pre-identification of spectral overlaps within fluorescent dye and detector combinations used in flow cytometry
JPS56169978A Title not available
WO2005017499A213 Aug 200424 Feb 2005Luminex CorpMethods for controlling one or more parameters of a flow cytometer type measurement system
WO2005068971A113 Jan 200528 Jul 2005Luminex CorpMethods and systems for dynamic range expansion
WO2005091893A228 Feb 20056 Oct 2005Dakocytomation Denmark AsSystem for high dynamic range analysis in flow cytometry
WO2010101623A12 Mar 201010 Sep 2010Michael Adeeb ThomasFlow cytometry system and method for applying gain to flow cytometry data
Referenced by
Citing PatentFiling datePublication dateApplicantTitle
US822968429 Apr 201024 Jul 2012Accuri Cytometers, Inc.Detection system and user interface for a flow cytometer system
US8229707 *4 Jul 201124 Jul 2012Accuri Cytometers, Inc.User interface for a flow cytometer system
US20120004859 *4 Jul 20115 Jan 2012David OlsonUser interface for a flow cytometer system
WO2013096137A1 *14 Dec 201227 Jun 2013Becton, Dickinson And CompanySystem and method to improve yield of sorted particles
Classifications
U.S. Classification702/189, 702/21, 702/32, 422/73, 702/45
International ClassificationG01N15/00, G06F17/40
Cooperative ClassificationG01N35/00712, G01N15/1429, G01N35/0092
European ClassificationG01N15/14E
Legal Events
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25 Oct 2011CCCertificate of correction
27 Sep 2011CCCertificate of correction
27 Sep 2007ASAssignment
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Owner name: ACCURI INSTRUMENTS, INC., MICHIGAN
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:OLSON, DAVID C.;RICH, COLLIN A.;GOEBEL, CLEMENT JAMES, III;REEL/FRAME:018793/0555;SIGNING DATES FROM 20070116 TO 20070118
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:OLSON, DAVID C.;RICH, COLLIN A.;GOEBEL, CLEMENT JAMES, III;SIGNING DATES FROM 20070116 TO 20070118;REEL/FRAME:018793/0555